Pandas Profiling Report

Dataset statistics

Number of variables	13
Number of observations	6497
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	1177
Duplicate rows (%)	18.1%
Total size in memory	660.0 KiB
Average record size in memory	104.0 B

Variable types

NUM	11
CAT	2

Warnings

Dataset has 1177 (18.1%) duplicate rows	Duplicates
`citric acid` has 151 (2.3%) zeros	Zeros

Reproduction

Analysis started	2020-11-13 07:41:20.158525
Analysis finished	2020-11-13 07:41:39.486287
Duration	19.33 seconds
Software version	pandas-profiling v2.9.0
Download configuration	config.yaml

wine_type
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	50.8 KiB

white wine	4898
red wine	1599

Frequencies
Length

Value	Count	Frequency (%)
white wine	4898	75.4%
red wine	1599	24.6%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	10
Median length	10
Mean length	9.507772818
Min length	8

citric acid
Real number (ℝ_≥0)

ZEROS

Distinct	89
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.3186332153
Minimum	0
Maximum	1.66
Zeros	151
Zeros (%)	2.3%
Memory size	50.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0.05
Q1	0.25
median	0.31
Q3	0.39
95-th percentile	0.56
Maximum	1.66
Range	1.66
Interquartile range (IQR)	0.14

Descriptive statistics

Standard deviation	0.1453178649
Coefficient of variation (CV)	0.4560662791
Kurtosis	2.397239216
Mean	0.3186332153
Median Absolute Deviation (MAD)	0.07
Skewness	0.4717306725
Sum	2070.16
Variance	0.02111728186
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.3	337	5.2%
0.28	301	4.6%
0.32	289	4.4%
0.49	283	4.4%
0.26	257	4.0%
0.34	249	3.8%
0.29	244	3.8%
0.27	236	3.6%
0.24	232	3.6%
0.31	230	3.5%
Other values (79)	3839	59.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	151	2.3%
0.01	40	0.6%
0.02	56	0.9%
0.03	32	0.5%
0.04	41	0.6%

Value	Count	Frequency (%)
1.66	1	< 0.1%
1.23	1	< 0.1%
1	6	0.1%
0.99	1	< 0.1%
0.91	2	< 0.1%

fixed acidity
Real number (ℝ_≥0)

Distinct	106
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	7.215307065
Minimum	3.8
Maximum	15.9
Zeros	0
Zeros (%)	0.0%
Memory size	50.8 KiB

Quantile statistics

Minimum	3.8
5-th percentile	5.7
Q1	6.4
median	7
Q3	7.7
95-th percentile	9.8
Maximum	15.9
Range	12.1
Interquartile range (IQR)	1.3

Descriptive statistics

Standard deviation	1.296433758
Coefficient of variation (CV)	0.1796782516
Kurtosis	5.061160665
Mean	7.215307065
Median Absolute Deviation (MAD)	0.6
Skewness	1.723289647
Sum	46877.85
Variance	1.680740488
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6.8	354	5.4%
6.6	327	5.0%
6.4	305	4.7%
7	282	4.3%
6.9	279	4.3%
7.2	273	4.2%
6.7	264	4.1%
7.1	257	4.0%
6.5	242	3.7%
7.4	238	3.7%
Other values (96)	3676	56.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
3.8	1	< 0.1%
3.9	1	< 0.1%
4.2	2	< 0.1%
4.4	3	< 0.1%
4.5	1	< 0.1%

Value	Count	Frequency (%)
15.9	1	< 0.1%
15.6	2	< 0.1%
15.5	2	< 0.1%
15	2	< 0.1%
14.3	1	< 0.1%

volatile acidity
Real number (ℝ_≥0)

Distinct	187
Distinct (%)	2.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.3396659997
Minimum	0.08
Maximum	1.58
Zeros	0
Zeros (%)	0.0%
Memory size	50.8 KiB

Quantile statistics

Minimum	0.08
5-th percentile	0.16
Q1	0.23
median	0.29
Q3	0.4
95-th percentile	0.67
Maximum	1.58
Range	1.5
Interquartile range (IQR)	0.17

Descriptive statistics

Standard deviation	0.1646364741
Coefficient of variation (CV)	0.4847010717
Kurtosis	2.825372417
Mean	0.3396659997
Median Absolute Deviation (MAD)	0.08
Skewness	1.495096542
Sum	2206.81
Variance	0.0271051686
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.28	286	4.4%
0.24	266	4.1%
0.26	256	3.9%
0.25	238	3.7%
0.22	235	3.6%
0.27	232	3.6%
0.23	221	3.4%
0.2	217	3.3%
0.3	214	3.3%
0.32	205	3.2%
Other values (177)	4127	63.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.08	4	0.1%
0.085	1	< 0.1%
0.09	1	< 0.1%
0.1	6	0.1%
0.105	6	0.1%

Value	Count	Frequency (%)
1.58	1	< 0.1%
1.33	2	< 0.1%
1.24	1	< 0.1%
1.185	1	< 0.1%
1.18	1	< 0.1%

residual sugar
Real number (ℝ_≥0)

Distinct	316
Distinct (%)	4.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	5.443235339
Minimum	0.6
Maximum	65.8
Zeros	0
Zeros (%)	0.0%
Memory size	50.8 KiB

Quantile statistics

Minimum	0.6
5-th percentile	1.2
Q1	1.8
median	3
Q3	8.1
95-th percentile	15
Maximum	65.8
Range	65.2
Interquartile range (IQR)	6.3

Descriptive statistics

Standard deviation	4.757803743
Coefficient of variation (CV)	0.8740764355
Kurtosis	4.359271948
Mean	5.443235339
Median Absolute Deviation (MAD)	1.7
Skewness	1.435404263
Sum	35364.7
Variance	22.63669646
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2	235	3.6%
1.8	228	3.5%
1.6	223	3.4%
1.4	219	3.4%
1.2	195	3.0%
2.2	187	2.9%
2.1	179	2.8%
1.9	176	2.7%
1.7	175	2.7%
1.5	172	2.6%
Other values (306)	4508	69.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.6	2	< 0.1%
0.7	7	0.1%
0.8	25	0.4%
0.9	41	0.6%
0.95	4	0.1%

Value	Count	Frequency (%)
65.8	1	< 0.1%
31.6	2	< 0.1%
26.05	2	< 0.1%
23.5	1	< 0.1%
22.6	1	< 0.1%

chlorides
Real number (ℝ_≥0)

Distinct	214
Distinct (%)	3.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.05603386178
Minimum	0.009
Maximum	0.611
Zeros	0
Zeros (%)	0.0%
Memory size	50.8 KiB

Quantile statistics

Minimum	0.009
5-th percentile	0.028
Q1	0.038
median	0.047
Q3	0.065
95-th percentile	0.102
Maximum	0.611
Range	0.602
Interquartile range (IQR)	0.027

Descriptive statistics

Standard deviation	0.03503360137
Coefficient of variation (CV)	0.6252219686
Kurtosis	50.89805146
Mean	0.05603386178
Median Absolute Deviation (MAD)	0.011
Skewness	5.399827732
Sum	364.052
Variance	0.001227353225
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.044	206	3.2%
0.036	200	3.1%
0.042	187	2.9%
0.046	185	2.8%
0.048	182	2.8%
0.04	182	2.8%
0.05	182	2.8%
0.047	175	2.7%
0.045	174	2.7%
0.038	169	2.6%
Other values (204)	4655	71.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.009	1	< 0.1%
0.012	3	< 0.1%
0.013	1	< 0.1%
0.014	4	0.1%
0.015	4	0.1%

Value	Count	Frequency (%)
0.611	1	< 0.1%
0.61	1	< 0.1%
0.467	1	< 0.1%
0.464	1	< 0.1%
0.422	1	< 0.1%

free sulfur dioxide
Real number (ℝ_≥0)

Distinct	135
Distinct (%)	2.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	30.52531938
Minimum	1
Maximum	289
Zeros	0
Zeros (%)	0.0%
Memory size	50.8 KiB

Quantile statistics

Minimum	1
5-th percentile	6
Q1	17
median	29
Q3	41
95-th percentile	61
Maximum	289
Range	288
Interquartile range (IQR)	24

Descriptive statistics

Standard deviation	17.74939977
Coefficient of variation (CV)	0.5814648342
Kurtosis	7.906238067
Mean	30.52531938
Median Absolute Deviation (MAD)	12
Skewness	1.220066074
Sum	198323
Variance	315.0411923
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
29	183	2.8%
6	170	2.6%
26	161	2.5%
15	157	2.4%
24	152	2.3%
31	152	2.3%
17	149	2.3%
34	146	2.2%
35	144	2.2%
23	142	2.2%
Other values (125)	4941	76.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	3	< 0.1%
2	2	< 0.1%
3	59	0.9%
4	52	0.8%
5	129	2.0%

Value	Count	Frequency (%)
289	1	< 0.1%
146.5	1	< 0.1%
138.5	1	< 0.1%
131	1	< 0.1%
128	1	< 0.1%

total sulfur dioxide
Real number (ℝ_≥0)

Distinct	276
Distinct (%)	4.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	115.7445744
Minimum	6
Maximum	440
Zeros	0
Zeros (%)	0.0%
Memory size	50.8 KiB

Quantile statistics

Minimum	6
5-th percentile	19
Q1	77
median	118
Q3	156
95-th percentile	206
Maximum	440
Range	434
Interquartile range (IQR)	79

Descriptive statistics

Standard deviation	56.52185452
Coefficient of variation (CV)	0.488332648
Kurtosis	-0.3716636549
Mean	115.7445744
Median Absolute Deviation (MAD)	39
Skewness	-0.001177478234
Sum	751992.5
Variance	3194.720039
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
111	72	1.1%
113	65	1.0%
122	57	0.9%
117	57	0.9%
128	56	0.9%
124	56	0.9%
98	56	0.9%
114	56	0.9%
118	55	0.8%
150	54	0.8%
Other values (266)	5913	91.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
6	3	< 0.1%
7	4	0.1%
8	14	0.2%
9	15	0.2%
10	28	0.4%

Value	Count	Frequency (%)
440	1	< 0.1%
366.5	1	< 0.1%
344	1	< 0.1%
313	1	< 0.1%
307.5	1	< 0.1%

density
Real number (ℝ_≥0)

Distinct	998
Distinct (%)	15.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	0.9946966338
Minimum	0.98711
Maximum	1.03898
Zeros	0
Zeros (%)	0.0%
Memory size	50.8 KiB

Quantile statistics

Minimum	0.98711
5-th percentile	0.9899
Q1	0.99234
median	0.99489
Q3	0.99699
95-th percentile	0.999392
Maximum	1.03898
Range	0.05187
Interquartile range (IQR)	0.00465

Descriptive statistics

Standard deviation	0.002998673004
Coefficient of variation (CV)	0.003014660854
Kurtosis	6.606066991
Mean	0.9946966338
Median Absolute Deviation (MAD)	0.00231
Skewness	0.5036017301
Sum	6462.54403
Variance	8.992039783e-06
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.9972	69	1.1%
0.9976	69	1.1%
0.992	64	1.0%
0.998	64	1.0%
0.9928	63	1.0%
0.9986	61	0.9%
0.9966	59	0.9%
0.9962	59	0.9%
0.9968	55	0.8%
0.9956	55	0.8%
Other values (988)	5879	90.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0.98711	1	< 0.1%
0.98713	1	< 0.1%
0.98722	1	< 0.1%
0.9874	1	< 0.1%
0.98742	2	< 0.1%

Value	Count	Frequency (%)
1.03898	1	< 0.1%
1.0103	2	< 0.1%
1.00369	2	< 0.1%
1.0032	1	< 0.1%
1.00315	3	< 0.1%

pH
Real number (ℝ_≥0)

Distinct	108
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	3.218500847
Minimum	2.72
Maximum	4.01
Zeros	0
Zeros (%)	0.0%
Memory size	50.8 KiB

Quantile statistics

Minimum	2.72
5-th percentile	2.97
Q1	3.11
median	3.21
Q3	3.32
95-th percentile	3.5
Maximum	4.01
Range	1.29
Interquartile range (IQR)	0.21

Descriptive statistics

Standard deviation	0.1607872021
Coefficient of variation (CV)	0.04995717254
Kurtosis	0.3676572674
Mean	3.218500847
Median Absolute Deviation (MAD)	0.11
Skewness	0.3868387981
Sum	20910.6
Variance	0.02585252436
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3.16	200	3.1%
3.14	193	3.0%
3.22	185	2.8%
3.2	176	2.7%
3.19	170	2.6%
3.15	170	2.6%
3.18	168	2.6%
3.24	161	2.5%
3.12	154	2.4%
3.1	154	2.4%
Other values (98)	4766	73.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2.72	1	< 0.1%
2.74	2	< 0.1%
2.77	1	< 0.1%
2.79	3	< 0.1%
2.8	3	< 0.1%

Value	Count	Frequency (%)
4.01	2	< 0.1%
3.9	2	< 0.1%
3.85	1	< 0.1%
3.82	1	< 0.1%
3.81	1	< 0.1%

alcohol
Real number (ℝ_≥0)

Distinct	111
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	10.49180083
Minimum	8
Maximum	14.9
Zeros	0
Zeros (%)	0.0%
Memory size	50.8 KiB

Quantile statistics

Minimum	8
5-th percentile	9
Q1	9.5
median	10.3
Q3	11.3
95-th percentile	12.7
Maximum	14.9
Range	6.9
Interquartile range (IQR)	1.8

Descriptive statistics

Standard deviation	1.192711749
Coefficient of variation (CV)	0.1136803651
Kurtosis	-0.5316873829
Mean	10.49180083
Median Absolute Deviation (MAD)	0.9
Skewness	0.5657177291
Sum	68165.23
Variance	1.422561316
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9.5	367	5.6%
9.4	332	5.1%
9.2	271	4.2%
10	229	3.5%
10.5	227	3.5%
11	217	3.3%
9	215	3.3%
9.8	214	3.3%
10.4	194	3.0%
9.3	193	3.0%
Other values (101)	4038	62.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
8	2	< 0.1%
8.4	5	0.1%
8.5	10	0.2%
8.6	23	0.4%
8.7	80	1.2%

Value	Count	Frequency (%)
14.9	1	< 0.1%
14.2	1	< 0.1%
14.05	1	< 0.1%
14	12	0.2%
13.9	3	< 0.1%

quality
Real number (ℝ_≥0)

Distinct	7
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	5.818377713
Minimum	3
Maximum	9
Zeros	0
Zeros (%)	0.0%
Memory size	50.8 KiB

Quantile statistics

Minimum	3
5-th percentile	5
Q1	5
median	6
Q3	6
95-th percentile	7
Maximum	9
Range	6
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.8732552715
Coefficient of variation (CV)	0.1500856965
Kurtosis	0.2323222693
Mean	5.818377713
Median Absolute Deviation (MAD)	1
Skewness	0.1896226934
Sum	37802
Variance	0.7625747693
Monotocity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
6	2836	43.7%
5	2138	32.9%
7	1079	16.6%
4	216	3.3%
8	193	3.0%
3	30	0.5%
9	5	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
3	30	0.5%
4	216	3.3%
5	2138	32.9%
6	2836	43.7%
7	1079	16.6%

Value	Count	Frequency (%)
9	5	0.1%
8	193	3.0%
7	1079	16.6%
6	2836	43.7%
5	2138	32.9%

quality_label
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	50.8 KiB

medium quality	3915
low quality	2384
high quality	198

Frequencies
Length

Value	Count	Frequency (%)
medium quality	3915	60.3%
low quality	2384	36.7%
high quality	198	3.0%

Frequencies of value counts

Unique

Unique	0 ?
Unique (%)	0.0%

Histogram of lengths of the category

Length

Max length	14
Median length	14
Mean length	12.83823303
Min length	11

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

First rows

	wine_type	citric acid	fixed acidity	volatile acidity	residual sugar	chlorides	free sulfur dioxide	total sulfur dioxide	density	pH	alcohol	quality	quality_label
0	red wine	0.22	6.8	0.56	1.8	0.074	15.0	24.0	0.99438	3.40	11.2	6	medium quality
1	white wine	0.36	6.4	0.30	2.0	0.052	18.0	141.0	0.99273	3.38	10.5	6	medium quality
2	white wine	0.29	5.9	0.17	3.1	0.030	32.0	123.0	0.98913	3.41	13.7	7	medium quality
3	white wine	0.24	7.0	0.24	1.8	0.047	29.0	91.0	0.99251	3.30	9.9	6	medium quality
4	white wine	0.07	6.4	0.45	1.1	0.030	10.0	131.0	0.99050	2.97	10.8	5	low quality
5	white wine	0.26	6.0	0.20	6.8	0.049	22.0	93.0	0.99280	3.15	11.0	6	medium quality
6	white wine	0.49	6.8	0.22	0.9	0.052	26.0	128.0	0.99100	3.25	11.4	6	medium quality
7	white wine	0.61	7.1	0.43	11.8	0.045	54.0	155.0	0.99740	3.11	8.7	5	low quality
8	white wine	0.45	6.2	0.36	10.4	0.060	22.0	184.0	0.99711	3.31	9.8	6	medium quality
9	red wine	0.66	9.5	0.55	2.3	0.387	12.0	37.0	0.99820	3.17	9.6	5	low quality

Last rows

	wine_type	citric acid	fixed acidity	volatile acidity	residual sugar	chlorides	free sulfur dioxide	total sulfur dioxide	density	pH	alcohol	quality	quality_label
6487	white wine	0.16	6.5	0.36	1.3	0.054	11.0	107.0	0.99398	3.19	8.5	5	low quality
6488	red wine	0.44	8.5	0.34	1.7	0.079	6.0	12.0	0.99605	3.52	10.7	5	low quality
6489	white wine	0.30	6.8	0.32	1.0	0.049	22.0	113.0	0.99289	3.24	10.2	5	low quality
6490	white wine	0.28	7.0	0.14	1.3	0.026	10.0	56.0	0.99352	3.46	9.9	5	low quality
6491	white wine	0.37	6.9	0.28	9.1	0.037	16.0	76.0	0.99480	3.05	11.1	5	low quality
6492	red wine	0.45	12.7	0.59	2.3	0.082	11.0	22.0	1.00000	3.00	9.3	6	medium quality
6493	white wine	0.35	8.0	0.25	1.1	0.054	13.0	136.0	0.99366	3.08	9.5	5	low quality
6494	red wine	0.14	8.3	0.85	2.5	0.093	13.0	54.0	0.99724	3.36	10.1	5	low quality
6495	red wine	0.10	6.3	0.60	1.6	0.048	12.0	26.0	0.99306	3.55	12.1	5	low quality
6496	white wine	0.49	7.1	0.18	1.3	0.033	12.0	72.0	0.99072	3.05	11.3	7	medium quality

Most frequent

	wine_type	citric acid	fixed acidity	volatile acidity	residual sugar	chlorides	free sulfur dioxide	total sulfur dioxide	density	pH	alcohol	quality	quality_label	count
438	white wine	0.27	7.3	0.19	13.9	0.057	45.0	155.0	0.99807	2.94	8.8	8	high quality	8
473	white wine	0.28	7.0	0.15	14.7	0.051	29.0	149.0	0.99792	2.96	9.0	7	medium quality	8
549	white wine	0.30	6.8	0.18	12.8	0.062	19.0	171.0	0.99808	3.00	9.0	7	medium quality	7
565	white wine	0.30	7.4	0.16	13.7	0.056	33.0	168.0	0.99825	2.90	8.7	7	medium quality	7
439	white wine	0.27	7.4	0.16	15.5	0.050	25.0	135.0	0.99840	2.90	8.7	7	medium quality	6
566	white wine	0.30	7.4	0.19	12.8	0.053	48.5	229.0	0.99860	3.14	9.1	7	medium quality	6
567	white wine	0.30	7.6	0.20	14.2	0.056	53.0	212.5	0.99900	3.14	8.9	8	high quality	6
598	white wine	0.31	7.4	0.19	14.5	0.045	39.0	193.0	0.99860	3.10	9.2	6	medium quality	6
273	white wine	0.20	5.7	0.22	16.0	0.044	41.0	113.0	0.99862	3.22	8.9	6	medium quality	5
318	white wine	0.23	6.6	0.22	17.3	0.047	37.0	118.0	0.99906	3.08	8.8	6	medium quality	5

Overview

Variables

Interactions

Correlations

Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Cramér's V (φc)

Missing values

Sample

First rows

Last rows

Duplicate rows

Most frequent